Graph database developer Neo4j Inc. is upping its machine learning game today with a new release of Neo4j for Graph Data Science framework that leverages deep learning and graph convolutional neural ...

Graph databases are the fastest growing database technology, representing a departure from the relational and NoSQL models – a departure that is inherently worthwhile. Graph Databases For Dummies, ...

Data models and query languages are admittedly somewhat dry topics for people who are not in the inner circle of connoisseurs. Although graph data models and query languages are no exception to that ...

TigerGraph, provider of a leading graph analytics platform, is introducing the TigerGraph ML (Machine Learning) Workbench—a powerful toolkit that enables data scientists to significantly improve ML ...

Aerospike Inc., maker of a highly scalable NoSQL database, today is entering the graph database market with an offering that it claims can outperform and outscale offerings from market leaders such as ...

IBM today announced the general availability of Graph, a service for the Bluemix cloud offering that the company said helps set up a relatively new, high-performing type of database. Graph databases ...

AUSTIN, Texas, Dec. 11, 2023 — data.world, a leader in AI-ready data cataloging, recently released its benchmark report on LLM (Large Language Model) response accuracy, which ignites data ...

Google is hosting a version of its Cloud Next conference in Tokyo this week, and it’s putting the focus squarely on tweaking its databases for AI workloads (because at this point in 2024, AI is the ...

Twenty years ago, my development team built a natural language processing engine that scanned employment, auto, and real estate advertisements for searchable categories. I knew that we had a difficult ...

Startup Quander aims to help brands "deliver a memorable, measurable, multi-sensory brand experience". It uses interactive technology to enhance the customer experience, while capturing the data that ...